Highest GDP
163815
MonacoHighest Age of Marriage
33.3
MartiniqueHighest Life Expectancy
83
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The chart shows a strong positive relationship between GDP per capita and life expectancy in 2005. Countries with higher income levels generally exhibit higher life expectancy, as reflected by the upward-sloping trend line.
The relationship is steep at lower income levels, indicating that modest increases in GDP are associated with substantial gains in life expectancy among poorer countries. At higher income levels, the curve begins to flatten, suggesting diminishing returns of income on life expectancy once basic social and health needs are met.
The figure illustrates a positive relationship between GDP per capita and age at marriage across countries. As income levels increase, the average age at marriage also tends to rise, as shown by the upward-sloping regression line. The pattern is especially pronounced among lower-income countries, where small increases in GDP are associated with noticeable increases in marriage age. At higher income levels, the relationship becomes more dispersed, indicating that economic growth alone does not fully explain variations in marriage patterns. Overall, the chart suggests that economic development is an important, though not exclusive, factor influencing social and demographic behavior.
This data comes from the python plotly.express library’s gapminder dataset, which is originally sourced from the Gapminder Foundation.
The Gapminder Foundation is a non-profit venture that promotes sustainable global development and achievement of the United Nations Millennium Development Goals by increasing use and understanding of statistics and other information about social, economic, and environmental development.
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